It is well known that the introduction of acoustic background distortion and the variability resulting from environmentally induced stress causes speech recognition algorithms to fail. In this paper,… (More)

Studies have shown that variability introduced by stress or emotion can severely reduce speech recognition accuracy. Techniques for detecting or assessing the presence of stress could help improve… (More)

This study proposes a new set of feature parameters based on wavelet packet transform analysis of the speech signal. The new speech features are named subband based cepstral parameters (SBC) and… (More)

It is well known that speaker variability caused by accent is one factor that degrades performance of speech recognition algorithms. If knowledge of speaker accent can be estimated accurately, then a… (More)